Dataset contains 8,760 rows and 36 columns (after dropping attributes)
Key column categories:
- Station info: STATION, DATE, LATITUDE, LONGITUDE, ELEVATION, NAME
- Weather variables: Cloud, DewPoint, Pressure, Temperature, Wind| Pittsburgh Hourly Weather Observations (1981–2010) | |||||
| Cloud (% Clear) | DewPoint (°F) | Pressure (hPa) | Temperature (°F) | Wind (MPH) | |
|---|---|---|---|---|---|
| count | 8760.0 | 8760.0 | 8760.0 | 8760.0 | 8760.0 |
| mean | 13.12 | 40.57 | 1017.74 | 51.57 | 8.09 |
| std | 8.77 | 14.91 | 1.66 | 16.39 | 2.29 |
| min | 0.7 | 17.6 | 1014.1 | 23.8 | 3.4 |
| 25% | 6.3 | 25.9 | 1016.3 | 36.1 | 6.3 |
| 50% | 10.8 | 39.0 | 1018.0 | 51.75 | 8.3 |
| 75% | 18.3 | 56.4 | 1019.1 | 65.5 | 9.7 |
| max | 41.4 | 63.4 | 1021.5 | 81.2 | 13.3 |
Whatever example.
Here are the questions we are asking: - How do all three relate (Wind, Temperature, Clouds)?
- How does Pressure and DewPoint affect the other 3?
- Are there any interesting seasonal patterns?